Optimizing machine learning algorithms for improving prediction of bridge deck deterioration: A case study of Ohio bridges

A Rashidi Nasab, H Elzarka - Buildings, 2023 - mdpi.com
The deterioration of a bridge's deck endangers its safety and serviceability. Ohio has
approximately 45,000 bridges that need to be monitored to ensure their structural integrity …

Railway bridge structural health monitoring and fault detection: State-of-the-art methods and future challenges

M Vagnoli, R Remenyte-Prescott… - Structural Health …, 2018 - journals.sagepub.com
Railway importance in the transportation industry is increasing continuously, due to the
growing demand of both passenger travel and transportation of goods. However, more than …

Data-driven optimization of railway maintenance for track geometry

S Sharma, Y Cui, Q He, R Mohammadi, Z Li - Transportation Research Part …, 2018 - Elsevier
Railway big data technologies are transforming the existing track inspection and
maintenance policy deployed for railroads in North America. This paper develops a data …

An improved inspection process and machine-learning-assisted bridge condition prediction model

J Fang, J Hu, H Elzarka, H Zhao, C Gao - Buildings, 2023 - mdpi.com
Bridges have a special place in transportation infrastructures and road networks due to their
direct relationship with other places. These structures have the purpose of maintaining the …

[HTML][HTML] VIKOR method for ranking concrete bridge repair projects with target-based criteria

Z Gao, RY Liang, T Xuan - Results in Engineering, 2019 - Elsevier
With the development of intelligent and automated information system in the information era,
the need for more efficient decision making method is growing. An effective method used to …

A gradient boosting approach to understanding airport runway and taxiway pavement deterioration

L Barua, B Zou, M Noruzoliaee… - International journal of …, 2021 - Taylor & Francis
Understanding airfield pavement deterioration is essential for airport asset management to
ensure safe and efficient airport operations. This paper employs Gradient Boosting Machine …

Deep learning–based analytics of multisource heterogeneous bridge data for enhanced data-driven bridge deterioration prediction

K Liu, N El-Gohary - Journal of Computing in Civil Engineering, 2022 - ascelibrary.org
Existing data-driven bridge deterioration prediction methods mostly learn from abstract
inventory data from a single source to predict the future conditions of bridges. Bridge …

Visual inspection and bridge management

L Quirk, J Matos, J Murphy… - Structure and Infrastructure …, 2018 - Taylor & Francis
This paper estimates visual inspection quantitatively prior to its implementation in a Bridge
Management System using a Value of Information (VoI) approach employing a Bayesian pre …

Adaptive testing policy for multi-state systems with application to the degrading final elements in safety-instrumented systems

A Zhang, S Wu, D Fan, M Xie, B Cai, Y Liu - Reliability Engineering & …, 2022 - Elsevier
The performance of many engineering systems in their lifetimes can be modeled as multiple
states to facilitate operational decision-making. Based on the information that the system is …

Prediction‐Based Maintenance of Existing Bridges Using Neural Network and Sensitivity Analysis

P Miao - Advances in Civil Engineering, 2021 - Wiley Online Library
Bridge deterioration is affected by various factors. However, neither the relationships
between these factors and deterioration are explicitly determined, nor the relative effect of …